Christina Warren
Sr Dev Advocate @GitHub, hosts: @ovrtrd @_RocketFM. Journalist turned developer. @[email protected]. Loves media, tech and OSS. opinions = own
101,371
Followers
14,075
Following
156,642
Tweets
521.6
Avg Engagement
4,660
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @film_girl's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2007-11-01
- Verification:No
- Location:SEA via NYC
Data Summary
- Tweets Analyzed:3,218
- Avg Likes per Tweet:16.9
- Avg Retweets per Tweet:504.7
- Followers Analyzed:9,990
Engagement Analysis
Based on 3,218 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. She often responds to questions and comments, fostering a sense of community.
16.9
Avg Likes/Tweet
504.7
Avg Retweets/Tweet
54,372
Total Likes
1,624,001
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
25
75th Percentile
240,848
Top Tweet
5.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
14.8%
Original
55.1%
Replies
24.1%
Retweets
6.0%
Quotes
0.0%
Threads
0.6%
With Media
35.9%
With Links
6.2%
With #Tags
78.6%
With @Mentions
3.6%
With Emojis
136
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.73
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.4%
Weekday Posts
17.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,218 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 776 retweets (24% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,218 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 9,990 followersHer audience includes tech professionals, developers, and open-source enthusiasts. They are likely interested in workplace culture, software development, and media consumption.
Average
Audience Quality
20.3%
Suspicion Index
16.7%
Low-Quality %
129
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.6%
Empty Bio
14.4%
<10 Tweets
24.9%
Mass Following (>2K)
0.0%
New (<90 days)
39.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
64.1%
No URL
8.7%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
41,864,166
Total Potential Reach
129
Median Follower Reach
484
75th Percentile Reach
15.0%
>1K followers
3.3%
>10K followers
0.7%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.4%
Creators
6,832 accounts
17.2%
Consumers
1,716 accounts
14.4%
Dormant
1,442 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
393
Verified Followers
3.93% of total
976
Protected Accounts
9.76% of total
8 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,092,887 | Wrestler | Wrestling, Motivation, Self-promotion |
| @github | 2,502,542 | Tech Company | software development, coding, support |
| @Casey | 2,073,335 | YouTuber | family, work |
| @SinghLions | 1,330,781 | Restaurateur | Food, Travel, Influencer |
| @depthsofwiki | 783,925 | Wikipedia Enthusiast | Wikipedia, favorite things, fluffybabycow |
| @TrungTPhan | 657,029 | Writer | business, tech, podcast |
| @jonxfriends | 554,322 | - | - |
| @THE_THEO_FORD | 472,590 | - | - |
| @Scobleizer | 457,071 | Music Producer | Music, Metaverse, Dolby Atmos |
| @GeoRebekah | 413,446 | Scientist | Nat hazards, climate, COVID19 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,541
Followers With Bio
2,459
Followers Without Bio
75.41%
% With Bio
24.59%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,218 analyzed581,611
Combined Engagement
0
Total Likes
581,611
Total Retweets
116,322
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @taylorswift13: In my Eras era. 💅 https://t.co/r2E2PWVm6Z
RT @taylorswift13: Meet me at midnight… …for the Lavender Haze music video premiere (!!!!!!!!!!!!!) https://t.co/auFTSVBP0A https://t.co/1zy4BhKWbK
RT @NASAInSight: My power’s really low, so this may be the last image I can send. Don’t worry about me though: my time here has been both productive and serene. If I can keep talking to my mission team, I will – but I’ll be signing off here soon. Thanks for staying with me. https
RT @taylorswift13: I can’t put into words what this means to me. For the @RecordingAcad and my peers to acknowledge me as a director, and in doing so, acknowledge my work to try and reclaim my music… I’m blown away. Thank you to all the fans who willed this to happen. https://t.c
RT @Tweet_Dec: Happy 6th anniversary to the greatest moment in the history of the internet https://t.co/QYAunxfrUR
Key Insights & Takeaways
She frequently discusses workplace policies, particularly the concept of unlimited PTO and its impact on employees. She emphasizes the importance of transparency and fairness in company practices. Her content often highlights the intersection of media, technology, and open-source culture.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 101,371
- + High community engagement through conversations
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @film_girl reveals an well-established Twitter presence with 101,371 followers. The account demonstrates a conversation-first approach, averaging 521.6 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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